Case studyAI product
Wandero.ai
Your hardest-working teammate in the chaos of travel operations.
An AI operations assistant that automates the routine work of travel companies.
Visit wandero.ai
The work, the thinking and the value behind it.
Wandero is an AI-native workspace for travel and hospitality teams whose work is split across inboxes, WhatsApp, supplier conversations, itineraries, CRM records and back-office documents.
Rather than adding another specialist tool, the product is positioned as an operational teammate: it keeps context across the workflow, prepares the next action and leaves important sends and bookings reviewable by a person.
Tour operators, DMCs, travel agencies and hospitality teams
AI product
- Unified communications
- Travel workflow automation
- Itinerary and quote tools
- Human-in-the-loop controls
The problem
Travel operators, agencies and destination management companies lose their days to the mundane but critical parts of the job: coordinating with partners across email and WhatsApp, building tailored itineraries, filling out tedious forms, and double-checking every detail.
Each task is manageable on its own. The difficulty comes from keeping context consistent across conversations, supplier files, customer records and booking documents while expectations for response time stay high.
One operational surface
An AI-powered assistant that lives inside the operator's workflow, so the team spends less time on manual tasks and more on delivering the trip.
The value is in scaling operations without scaling headcount — moving a team from reactive, patchwork operations to automated workflows that hold together on their own.
The current product brings connected inboxes, WhatsApp, CRM, itinerary and quote tools, supplier information and back-office work into one workspace. The assistant can carry context between those areas instead of treating every task as a fresh prompt.
Automation with oversight
Travel operations are too consequential for invisible automation. Replies, booking actions and outbound documents remain available for approval, editing or rejection before they leave the system.
That review layer gives teams leverage without asking them to surrender control, while logs and history make the assistant's work visible after the fact.
What the work puts in place.
What changed
- Operations that scale without adding people
- Partner coordination handled across email and WhatsApp
- Itineraries and forms drafted rather than typed
- Fewer details left to catch by hand
Project surface
- Unified communications
- Travel workflow automation
- Itinerary and quote tools
- Human-in-the-loop controls
Built with
- OpenAI
- Gemini
- LangChain
- LangGraph
- Node.js
- PostgreSQL
- GSAP
Something here look like the problem you have?
Start a project